The book focuses on innovative, computationally efficient portfolio approaches to supply chain disruption management, e. Numerous computational examples throughout the book, modeled in part on real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights.
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The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into five main parts.
Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply and demand portfolios and scheduling; and Part V addresses disruption management of information flows in supply chains.
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Table of Contents Frontmatter Chapter 1. Introduction Abstract. A typical global supply chain in modern industry is a network of multiple part suppliers at different geographical locations and multiple production plants and distribution centers, where supplied parts are assembled into finished products and next distributed to customers.
In order to achieve a high customer service level at a low cost, a variety of complex, interconnected decision-making problems should be solved. The decision-making problems are strictly associated with the control and optimization of material flows as well as financial and information flows in the network, in particular, optimization of disrupted flows. In a customer-driven supply chain manufacturers should be prepared to produce different products to meet different customer needs.
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Does your county offer on-line access? The book is also appropriate for graduate- and PhD-level courses on supply chains for students majoring in management science, industrial engineering, operations research, applied mathematics, and computer science. Skriv anmeldelse.
Betal med gavekort her. Om Scheduling in Supply Chains Using Mixed A unified, systematic approach to applying mixed integer programming solutions to integrated scheduling in customer-driven supply chains Supply chain management is a rapidly developing field, and the recent improvements in modeling, preprocessing, solution algorithms, and mixed integer programming MIP software have made it possible to solve large-scale MIP models of scheduling problems, especially integrated scheduling in supply chains.